\begin{table}[htpb]\begin{center} \caption{Influence of the MIL on DIL's Mobility, if FIL is co-resident, OLS regressions}\label{table:app-table2}\begin{tabular}{lccccccc} \toprule
 &  \multicolumn{7}{c}{Outcome: DIL is usually allowed to visit the following places alone:}  \\ \midrule &   \shortstack{Home of\\relatives/\\friends} & \shortstack{Health\\facility} & \shortstack{Grocery\\store} & \shortstack{Short\\distance\\bus/train} & Market & \shortstack{Outside\\village/\\community} & \shortstack{Wears\\ghunghat/\\purdah} \\  &  (1) & (2) & (3) & (4) & (5) & (6) & (7)  \\ \midrule
MIL                      &      -0.096** &      -0.131***&      -0.156***&      -0.042*  &      -0.162***&      -0.078***&       0.065***\\
                         &     [0.037]   &     [0.039]   &     [0.040]   &     [0.021]   &     [0.038]   &     [0.026]   &     [0.019]   \\
\midrule N               &         671   &         671   &         671   &         671   &         671   &         671   &         671   \\
Control mean             &       0.218   &       0.255   &       0.310   &       0.125   &       0.329   &       0.296   &       0.838   \\
\bottomrule \\[-5ex] \end{tabular} \end{center} \begin{tablenotes} This table reports coefficients from specification (1). Each column is a separate regression. The outcome variables are the same as those in Tables 2 and 3. The sample is restricted to households where the father-in-law (FIL) is co-resident. In all cases, we control for the DIL's age, years of schooling, Hindu dummy, amount of land owned by the household, and fixed effects for her caste category (SC-ST, OBC, or Other caste) and village. Control mean refers to the dependent variable mean for women who have a co-resident FIL but who do not live with their MIL. Robust standard errors in brackets are clustered by village. \sym{*}\(p<0.1\),\sym{**}\(p<0.05\),\sym{***}\(p<0.01\). \end{tablenotes} \end{table}
